J. Revathi

Investigating the efficacy of graph convolutional, gated graph, and message passing neural networks for autism spectrum disorder diagnosis

It is demonstrated that the accuracy of diagnosing autism can be improved by investigating the relationships between several behavioural traits using deep learning approach, and the graph-based machine learning models applied to behavioural reaction time features can provide clinically interpretable ASD classification.